Triple

T7851030
Position Surface form Disambiguated ID Type / Status
Subject Ole Hanson E182052 entity
Predicate givenName P17 FINISHED
Object Ole
Ole is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark.
 E699998 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ole | Statement: [Ole Hanson, givenName, Ole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ole
Context triple: [Ole Hanson, givenName, Ole]
  • A. Olle
    Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
  • B. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • C. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • D. Ola
    Ola is a small urban locality in Russia’s Magadan Oblast, situated in the Russian Far East along the Sea of Okhotsk.
  • E. Ola
    Ola is a major Indian ride-hailing and mobility platform offering cab, auto-rickshaw, and other transportation services via its mobile app.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ole
Triple: [Ole Hanson, givenName, Ole]
Generated description
Ole is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ole
Target entity description: Ole is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • A. Olle
    Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
  • B. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • C. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • D. Ola
    Ola is a small urban locality in Russia’s Magadan Oblast, situated in the Russian Far East along the Sea of Okhotsk.
  • E. Ola
    Ola is a major Indian ride-hailing and mobility platform offering cab, auto-rickshaw, and other transportation services via its mobile app.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:50 p.m.